Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 00:22 UTC — 21 Oct 2026 00:22 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 3 | 3/3 | 3/3 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 4 / 4 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T00:22:02.342616+00:00 — 2026-10-21T00:22:05.378264+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 1 | 4 | 4/4 |
| 2024 | All selected publications | 0 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2020 | 1 |
| 2024 | 3 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 4 | 1 | 1 | 4/4 | 0.25 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
It has always been believed that government ownership would lead to bad financial performance and overstaffing in any organization. This study aims to examine the effect of government ownership on staffing level and the financial performance of Kuwaiti bank over the period 2010-2018. Using the financial data of ten banks listed at Kuwait stock exchange (KSE), results shows that there was s statistically significant direct relation between government ownership and overstaffing and statistically significant inverse relation between government ownership and the financial performance of banks measured by return on assets (ROA). On the other hand results show that there was no relation between overstaffing and the financial performance of Kuwaiti banks.
Purpose: The purpose of this research study is to examine the banking preferences of Kuwaiti university students, their preferences between Islamic and conventional, the reasons supporting their choice and, as a measure of satisfaction, the likelihood of them recommending their bank to their friends and family. Design/methodology/approach: We conduct a short survey among undergraduates using a 4-item paper questionnaire physically distributed and collected at a Kuwaiti business school. The large response (n= 503) is analysed and descriptive statistics used to present the results Findings: Results indicate a majority prefer Islamic banking and that the main reason for this is their religion. Those students who opted for conventional banks gave social reasons such as recommendation for their choice. A higher level of satisfaction was recorded for Islamic banking customers. We conclude that Islamic banks have managed to match their ethical and religious appeal with the delivery of efficient and convenient banking services that are valued by the student segment. Practical Implications: Our results are of interest to those offering retail banking services in binary markets where conventional banks compete with Islamic banks in addition to researchers in this domain. For Islamic banks, the significance of maintaining a strong reputation with the underpinning of robust Shariah principles is emphasized. Originality: The paper contributes fresh understanding to the acceptance of and satisfaction with Islamic banks and their products and services among a strategically important segment. It provides evidence suggesting a bright future for Islamic banking in Kuwait and the wider Gulf region.
This study investigates the long-term and short-term relationships between different monetary aggregates (M0, M1, M2, and M3) and GDP in Saudi Arabia using the Engle-Granger cointegration test and the Granger causality test. The results reveal that M2 has the most stable long-term relationship with GDP, making it the most reliable aggregate for policy formulation. M1 also shows a strong relationship, while M3’s connection is comparatively weaker. The causality analysis indicates bidirectional relationships between GDP and M1, M2, and M3, suggesting that changes in these aggregates can both influence and be influenced by economic activity. In contrast, M0 shows no significant long-term relationship and only responds to changes in GDP, indicating its limited policy relevance. These findings highlight the importance of using broader aggregates like M2 for effective policy targeting in Saudi Arabia’s evolving economic landscape. The study provides crucial insights for policymakers in selecting appropriate monetary aggregates for long-term planning and short-term economic stabilization.
There has always been controversy among researchers over how dividend policies affect share prices, and this equivocal relationship varies throughout international markets. This study is set to examine the relation between share prices and number of dividend policy and profitability variables. Based on the information from five insurance companies that are listed on Kuwait Stock Exchange (KSE) over the period 2014 and 2022, findings indicates that 55.3% of stock prices could be explained by factors related to profitability and dividend policy. The relationship between stock price, as a dependent variable, and earnings per share (EPS), dividend yield (DY), earning to price ratio (EP), risk premium (RP), and retention ratio (RR), as independent variables, was investigated in this study using OLS regression approach. The results of the regression analysis demonstrated a significant direct relationship between stock price and earnings per share (EPS), suggesting that investors choose highly profitable shares. At the 99% confidence level, the earnings to price ratio (EP) likewise revealed a statistically significant direct relationship with the stock price. At 90% confidence level, risk premium (RP) also shown a substantial direct relationship. The only variable that significantly correlated negatively with share prices was dividend yield (DY), suggesting that investors choose more stable payouts over uncertain future capital gains. Conversely, the retention ratio (RR) demonstrated a negligible direct impact on share prices.
Purpose: The purpose of this research study is to examine the banking preferences of Kuwaiti university students, their preferences between Islamic and conventional, the reasons supporting their choice and, as a measure of satisfaction, the likelihood of them recommending their bank to their friends and family. Design/methodology/approach: We conduct a short survey among undergraduates using a 4-item paper questionnaire physically distributed and collected at a Kuwaiti business school. The large response (n= 503) is analysed and descriptive statistics used to present the results Findings: Results indicate a majority prefer Islamic banking and that the main reason for this is their religion. Those students who opted for conventional banks gave social reasons such as recommendation for their choice. A higher level of satisfaction was recorded for Islamic banking customers. We conclude that Islamic banks have managed to match their ethical and religious appeal with the delivery of efficient and convenient banking services that are valued by the student segment. Practical Implications: Our results are of interest to those offering retail banking services in binary markets where conventional banks compete with Islamic banks in addition to researchers in this domain. For Islamic banks, the significance of maintaining a strong reputation with the underpinning of robust Shariah principles is emphasized. Originality: The paper contributes fresh understanding to the acceptance of and satisfaction with Islamic banks and their products and services among a strategically important segment. It provides evidence suggesting a bright future for Islamic banking in Kuwait and the wider Gulf region.
This study investigates the long-term and short-term relationships between different monetary aggregates (M0, M1, M2, and M3) and GDP in Saudi Arabia using the Engle-Granger cointegration test and the Granger causality test. The results reveal that M2 has the most stable long-term relationship with GDP, making it the most reliable aggregate for policy formulation. M1 also shows a strong relationship, while M3’s connection is comparatively weaker. The causality analysis indicates bidirectional relationships between GDP and M1, M2, and M3, suggesting that changes in these aggregates can both influence and be influenced by economic activity. In contrast, M0 shows no significant long-term relationship and only responds to changes in GDP, indicating its limited policy relevance. These findings highlight the importance of using broader aggregates like M2 for effective policy targeting in Saudi Arabia’s evolving economic landscape. The study provides crucial insights for policymakers in selecting appropriate monetary aggregates for long-term planning and short-term economic stabilization.
There has always been controversy among researchers over how dividend policies affect share prices, and this equivocal relationship varies throughout international markets. This study is set to examine the relation between share prices and number of dividend policy and profitability variables. Based on the information from five insurance companies that are listed on Kuwait Stock Exchange (KSE) over the period 2014 and 2022, findings indicates that 55.3% of stock prices could be explained by factors related to profitability and dividend policy. The relationship between stock price, as a dependent variable, and earnings per share (EPS), dividend yield (DY), earning to price ratio (EP), risk premium (RP), and retention ratio (RR), as independent variables, was investigated in this study using OLS regression approach. The results of the regression analysis demonstrated a significant direct relationship between stock price and earnings per share (EPS), suggesting that investors choose highly profitable shares. At the 99% confidence level, the earnings to price ratio (EP) likewise revealed a statistically significant direct relationship with the stock price. At 90% confidence level, risk premium (RP) also shown a substantial direct relationship. The only variable that significantly correlated negatively with share prices was dividend yield (DY), suggesting that investors choose more stable payouts over uncertain future capital gains. Conversely, the retention ratio (RR) demonstrated a negligible direct impact on share prices.
It has always been believed that government ownership would lead to bad financial performance and overstaffing in any organization. This study aims to examine the effect of government ownership on staffing level and the financial performance of Kuwaiti bank over the period 2010-2018. Using the financial data of ten banks listed at Kuwait stock exchange (KSE), results shows that there was s statistically significant direct relation between government ownership and overstaffing and statistically significant inverse relation between government ownership and the financial performance of banks measured by return on assets (ROA). On the other hand results show that there was no relation between overstaffing and the financial performance of Kuwaiti banks.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |